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pro vyhledávání: '"Marx Alexander"'
Autor:
Marx, Alexander, Epp, Sascha W.
The analysis of ultrafast electron diffraction (UED) data from low-symmetry single crystals of small molecules is often challenged by the difficulty of assigning unique Laue indices to the observed Bragg reflections. For a variety of technical and ph
Externí odkaz:
http://arxiv.org/abs/2412.04197
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :368-407
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :341-367
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :303-337
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :131-162
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :112-128
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :79-111
Autor:
Marx, Alexander, author
Publikováno v:
The Preaching of the Third Crusade (1187–1192): The Early University of Paris, Biblical Exegesis, and the Coming Apocalypse. :163-232
Anomaly detection focuses on identifying samples that deviate from the norm. When working with high-dimensional data such as images, a crucial requirement for detecting anomalous patterns is learning lower-dimensional representations that capture con
Externí odkaz:
http://arxiv.org/abs/2405.18848
The pointwise mutual information profile, or simply profile, is the distribution of pointwise mutual information for a given pair of random variables. One of its important properties is that its expected value is precisely the mutual information betw
Externí odkaz:
http://arxiv.org/abs/2310.10240